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<pre><span class="sourceLineNo">001</span>/*-<a name="line.1"></a>
<span class="sourceLineNo">002</span> *******************************************************************************<a name="line.2"></a>
<span class="sourceLineNo">003</span> * Copyright (c) 2011, 2017 Diamond Light Source Ltd.<a name="line.3"></a>
<span class="sourceLineNo">004</span> * All rights reserved. This program and the accompanying materials<a name="line.4"></a>
<span class="sourceLineNo">005</span> * are made available under the terms of the Eclipse Public License v1.0<a name="line.5"></a>
<span class="sourceLineNo">006</span> * which accompanies this distribution, and is available at<a name="line.6"></a>
<span class="sourceLineNo">007</span> * http://www.eclipse.org/legal/epl-v10.html<a name="line.7"></a>
<span class="sourceLineNo">008</span> *<a name="line.8"></a>
<span class="sourceLineNo">009</span> * Contributors:<a name="line.9"></a>
<span class="sourceLineNo">010</span> *    Peter Chang - initial API and implementation and/or initial documentation<a name="line.10"></a>
<span class="sourceLineNo">011</span> *    Tom Schoonjans - min and max methods<a name="line.11"></a>
<span class="sourceLineNo">012</span> *******************************************************************************/<a name="line.12"></a>
<span class="sourceLineNo">013</span><a name="line.13"></a>
<span class="sourceLineNo">014</span>package org.eclipse.january.dataset;<a name="line.14"></a>
<span class="sourceLineNo">015</span><a name="line.15"></a>
<span class="sourceLineNo">016</span>import java.util.ArrayList;<a name="line.16"></a>
<span class="sourceLineNo">017</span>import java.util.Arrays;<a name="line.17"></a>
<span class="sourceLineNo">018</span>import java.util.List;<a name="line.18"></a>
<span class="sourceLineNo">019</span><a name="line.19"></a>
<span class="sourceLineNo">020</span>import org.eclipse.january.DatasetException;<a name="line.20"></a>
<span class="sourceLineNo">021</span>import org.slf4j.Logger;<a name="line.21"></a>
<span class="sourceLineNo">022</span>import org.slf4j.LoggerFactory;<a name="line.22"></a>
<span class="sourceLineNo">023</span><a name="line.23"></a>
<span class="sourceLineNo">024</span>/**<a name="line.24"></a>
<span class="sourceLineNo">025</span> * Mathematics class for lazy datasets<a name="line.25"></a>
<span class="sourceLineNo">026</span> */<a name="line.26"></a>
<span class="sourceLineNo">027</span>public final class LazyMaths {<a name="line.27"></a>
<span class="sourceLineNo">028</span><a name="line.28"></a>
<span class="sourceLineNo">029</span>        private static final String DUPLICATE_AXIS_ERROR = "Axis arguments must be unique";<a name="line.29"></a>
<span class="sourceLineNo">030</span>        private static final String TOO_MANY_AXES_ERROR = "Number of axes cannot be greater than the rank";<a name="line.30"></a>
<span class="sourceLineNo">031</span><a name="line.31"></a>
<span class="sourceLineNo">032</span>        private LazyMaths() {<a name="line.32"></a>
<span class="sourceLineNo">033</span><a name="line.33"></a>
<span class="sourceLineNo">034</span>        }<a name="line.34"></a>
<span class="sourceLineNo">035</span><a name="line.35"></a>
<span class="sourceLineNo">036</span>        /**<a name="line.36"></a>
<span class="sourceLineNo">037</span>         * Setup the logging facilities<a name="line.37"></a>
<span class="sourceLineNo">038</span>         */<a name="line.38"></a>
<span class="sourceLineNo">039</span>        protected static final Logger logger = LoggerFactory.getLogger(LazyMaths.class);<a name="line.39"></a>
<span class="sourceLineNo">040</span><a name="line.40"></a>
<span class="sourceLineNo">041</span>        // TODO Uncomment this next line when minimum JDK is set to 1.8<a name="line.41"></a>
<span class="sourceLineNo">042</span>        // @FunctionalInterface<a name="line.42"></a>
<span class="sourceLineNo">043</span>        private static interface IMathOperation {<a name="line.43"></a>
<span class="sourceLineNo">044</span>                void execute(IDataset a, IDataset b, Dataset c);<a name="line.44"></a>
<span class="sourceLineNo">045</span>        }<a name="line.45"></a>
<span class="sourceLineNo">046</span><a name="line.46"></a>
<span class="sourceLineNo">047</span>        private enum MathOperation implements IMathOperation {<a name="line.47"></a>
<span class="sourceLineNo">048</span>                // TODO use lambdas here when moving to Java 8<a name="line.48"></a>
<span class="sourceLineNo">049</span>                MAX(new IMathOperation() {<a name="line.49"></a>
<span class="sourceLineNo">050</span>                        @Override<a name="line.50"></a>
<span class="sourceLineNo">051</span>                        public void execute(IDataset a, IDataset b, Dataset c) {<a name="line.51"></a>
<span class="sourceLineNo">052</span>                                Maths.maximum(a, b, c);<a name="line.52"></a>
<span class="sourceLineNo">053</span>                        }<a name="line.53"></a>
<span class="sourceLineNo">054</span>                }, "maximum"),<a name="line.54"></a>
<span class="sourceLineNo">055</span>                MIN(new IMathOperation() {<a name="line.55"></a>
<span class="sourceLineNo">056</span>                        @Override<a name="line.56"></a>
<span class="sourceLineNo">057</span>                        public void execute(IDataset a, IDataset b, Dataset c) {<a name="line.57"></a>
<span class="sourceLineNo">058</span>                                Maths.minimum(a, b, c);<a name="line.58"></a>
<span class="sourceLineNo">059</span>                        }<a name="line.59"></a>
<span class="sourceLineNo">060</span>                }, "minimum");<a name="line.60"></a>
<span class="sourceLineNo">061</span><a name="line.61"></a>
<span class="sourceLineNo">062</span>                private final IMathOperation operation;<a name="line.62"></a>
<span class="sourceLineNo">063</span>                private final String operationName;<a name="line.63"></a>
<span class="sourceLineNo">064</span><a name="line.64"></a>
<span class="sourceLineNo">065</span>                private MathOperation(IMathOperation operation, String operationName) {<a name="line.65"></a>
<span class="sourceLineNo">066</span>                        this.operation = operation;<a name="line.66"></a>
<span class="sourceLineNo">067</span>                        this.operationName = operationName;<a name="line.67"></a>
<span class="sourceLineNo">068</span>                }<a name="line.68"></a>
<span class="sourceLineNo">069</span>                <a name="line.69"></a>
<span class="sourceLineNo">070</span>                @Override<a name="line.70"></a>
<span class="sourceLineNo">071</span>                public void execute(IDataset a, IDataset b, Dataset c) {<a name="line.71"></a>
<span class="sourceLineNo">072</span>                        operation.execute(a, b, c);<a name="line.72"></a>
<span class="sourceLineNo">073</span>                }<a name="line.73"></a>
<span class="sourceLineNo">074</span><a name="line.74"></a>
<span class="sourceLineNo">075</span>                /**<a name="line.75"></a>
<span class="sourceLineNo">076</span>                 * @return the operationName<a name="line.76"></a>
<span class="sourceLineNo">077</span>                 */<a name="line.77"></a>
<span class="sourceLineNo">078</span>                public String getOperationName() {<a name="line.78"></a>
<span class="sourceLineNo">079</span>                        return operationName;<a name="line.79"></a>
<span class="sourceLineNo">080</span>                }<a name="line.80"></a>
<span class="sourceLineNo">081</span><a name="line.81"></a>
<span class="sourceLineNo">082</span>        }<a name="line.82"></a>
<span class="sourceLineNo">083</span><a name="line.83"></a>
<span class="sourceLineNo">084</span>        private static int[] requireSortedAxes(final ILazyDataset data, int[] axes) {<a name="line.84"></a>
<span class="sourceLineNo">085</span>                int rank = data.getRank();<a name="line.85"></a>
<span class="sourceLineNo">086</span>                if (axes == null || axes.length == 0) { // take to mean use all axes<a name="line.86"></a>
<span class="sourceLineNo">087</span>                        axes = new int[rank];<a name="line.87"></a>
<span class="sourceLineNo">088</span>                        for (int i = 0; i &lt; rank; i++) {<a name="line.88"></a>
<span class="sourceLineNo">089</span>                                axes[i] = i;<a name="line.89"></a>
<span class="sourceLineNo">090</span>                        }<a name="line.90"></a>
<span class="sourceLineNo">091</span>                } else {<a name="line.91"></a>
<span class="sourceLineNo">092</span>                        Arrays.sort(axes);<a name="line.92"></a>
<span class="sourceLineNo">093</span>                        if (rank &lt; axes.length) {<a name="line.93"></a>
<span class="sourceLineNo">094</span>                                logger.error(TOO_MANY_AXES_ERROR);<a name="line.94"></a>
<span class="sourceLineNo">095</span>                                throw new IllegalArgumentException(TOO_MANY_AXES_ERROR);<a name="line.95"></a>
<span class="sourceLineNo">096</span>                        }<a name="line.96"></a>
<span class="sourceLineNo">097</span>                                <a name="line.97"></a>
<span class="sourceLineNo">098</span>                        for (int axisIndex = 0 ; axisIndex &lt; axes.length ; axisIndex++) {<a name="line.98"></a>
<span class="sourceLineNo">099</span>                                if (axes.length &gt; 1 &amp;&amp; axisIndex &gt; 0 &amp;&amp; axes[axisIndex] == axes[axisIndex-1]) {<a name="line.99"></a>
<span class="sourceLineNo">100</span>                                        logger.error(DUPLICATE_AXIS_ERROR);<a name="line.100"></a>
<span class="sourceLineNo">101</span>                                        throw new IllegalArgumentException(DUPLICATE_AXIS_ERROR);<a name="line.101"></a>
<span class="sourceLineNo">102</span>                                }<a name="line.102"></a>
<span class="sourceLineNo">103</span>                                axes[axisIndex] = ShapeUtils.checkAxis(rank, axes[axisIndex]);<a name="line.103"></a>
<span class="sourceLineNo">104</span>                        }<a name="line.104"></a>
<span class="sourceLineNo">105</span>                }<a name="line.105"></a>
<span class="sourceLineNo">106</span>                return axes;<a name="line.106"></a>
<span class="sourceLineNo">107</span>        }<a name="line.107"></a>
<span class="sourceLineNo">108</span><a name="line.108"></a>
<span class="sourceLineNo">109</span>        private static Dataset maxmin(final ILazyDataset data, MathOperation operation, int...axes) throws DatasetException {<a name="line.109"></a>
<span class="sourceLineNo">110</span>                axes = requireSortedAxes(data, axes);<a name="line.110"></a>
<span class="sourceLineNo">111</span>                <a name="line.111"></a>
<span class="sourceLineNo">112</span>                // we will be working here with the "ignoreAxes" instead to improve performance dramatically<a name="line.112"></a>
<span class="sourceLineNo">113</span>                int[] ignoreAxes = new int[data.getRank()-axes.length];<a name="line.113"></a>
<span class="sourceLineNo">114</span>                <a name="line.114"></a>
<span class="sourceLineNo">115</span>                int k = 0;<a name="line.115"></a>
<span class="sourceLineNo">116</span>                for (int i = 0 ; i &lt; data.getRank() ; i++) {<a name="line.116"></a>
<span class="sourceLineNo">117</span>                        if (Arrays.binarySearch(axes, i) &lt; 0)<a name="line.117"></a>
<span class="sourceLineNo">118</span>                                ignoreAxes[k++] = i;<a name="line.118"></a>
<span class="sourceLineNo">119</span>                }<a name="line.119"></a>
<span class="sourceLineNo">120</span>                <a name="line.120"></a>
<span class="sourceLineNo">121</span>                final int[] oldShape = data.getShape();<a name="line.121"></a>
<span class="sourceLineNo">122</span><a name="line.122"></a>
<span class="sourceLineNo">123</span>                SliceND sa = new SliceND(oldShape);<a name="line.123"></a>
<span class="sourceLineNo">124</span>                SliceNDIterator it = new SliceNDIterator(sa, ignoreAxes);<a name="line.124"></a>
<span class="sourceLineNo">125</span>                Dataset result = null;<a name="line.125"></a>
<span class="sourceLineNo">126</span>                <a name="line.126"></a>
<span class="sourceLineNo">127</span>                while (it.hasNext()) {<a name="line.127"></a>
<span class="sourceLineNo">128</span>                        SliceND currentSlice = it.getCurrentSlice();<a name="line.128"></a>
<span class="sourceLineNo">129</span>                        IDataset slice = data.getSlice(currentSlice);<a name="line.129"></a>
<span class="sourceLineNo">130</span>                        if (result == null)<a name="line.130"></a>
<span class="sourceLineNo">131</span>                                result = DatasetUtils.convertToDataset(slice);<a name="line.131"></a>
<span class="sourceLineNo">132</span>                        else<a name="line.132"></a>
<span class="sourceLineNo">133</span>                                operation.execute(result, slice, result);<a name="line.133"></a>
<span class="sourceLineNo">134</span>                }<a name="line.134"></a>
<span class="sourceLineNo">135</span>                if (result != null) {<a name="line.135"></a>
<span class="sourceLineNo">136</span>                        result.setName(operation.getOperationName());<a name="line.136"></a>
<span class="sourceLineNo">137</span>                        result.squeeze();<a name="line.137"></a>
<span class="sourceLineNo">138</span>                }<a name="line.138"></a>
<span class="sourceLineNo">139</span>                return result;<a name="line.139"></a>
<span class="sourceLineNo">140</span>        }<a name="line.140"></a>
<span class="sourceLineNo">141</span><a name="line.141"></a>
<span class="sourceLineNo">142</span>        /**<a name="line.142"></a>
<span class="sourceLineNo">143</span>         * @param data<a name="line.143"></a>
<span class="sourceLineNo">144</span>         * @param axes (can be negative). If null or empty then use all axes<a name="line.144"></a>
<span class="sourceLineNo">145</span>         * @return maximum along axes in lazy dataset<a name="line.145"></a>
<span class="sourceLineNo">146</span>         * @throws DatasetException<a name="line.146"></a>
<span class="sourceLineNo">147</span>         * @since 2.1<a name="line.147"></a>
<span class="sourceLineNo">148</span>         */<a name="line.148"></a>
<span class="sourceLineNo">149</span>        public static Dataset max(final ILazyDataset data, int... axes) throws DatasetException {<a name="line.149"></a>
<span class="sourceLineNo">150</span>                if (data instanceof Dataset) {<a name="line.150"></a>
<span class="sourceLineNo">151</span>                        Dataset tmp = (Dataset) data;<a name="line.151"></a>
<span class="sourceLineNo">152</span>                        axes = requireSortedAxes(data, axes);<a name="line.152"></a>
<span class="sourceLineNo">153</span>                        for (int i = axes.length - 1; i &gt;= 0; i--) {<a name="line.153"></a>
<span class="sourceLineNo">154</span>                                tmp = tmp.max(axes[i]);<a name="line.154"></a>
<span class="sourceLineNo">155</span>                        }<a name="line.155"></a>
<span class="sourceLineNo">156</span>                        <a name="line.156"></a>
<span class="sourceLineNo">157</span>                        return tmp;<a name="line.157"></a>
<span class="sourceLineNo">158</span>                }<a name="line.158"></a>
<span class="sourceLineNo">159</span>                return maxmin(data, MathOperation.MAX, axes);<a name="line.159"></a>
<span class="sourceLineNo">160</span>        }<a name="line.160"></a>
<span class="sourceLineNo">161</span><a name="line.161"></a>
<span class="sourceLineNo">162</span>        /**<a name="line.162"></a>
<span class="sourceLineNo">163</span>         * @param data<a name="line.163"></a>
<span class="sourceLineNo">164</span>         * @param axes (can be negative). If null or empty then use all axes<a name="line.164"></a>
<span class="sourceLineNo">165</span>         * @return minimum along axes in lazy dataset<a name="line.165"></a>
<span class="sourceLineNo">166</span>         * @throws DatasetException<a name="line.166"></a>
<span class="sourceLineNo">167</span>         * @since 2.1<a name="line.167"></a>
<span class="sourceLineNo">168</span>         */<a name="line.168"></a>
<span class="sourceLineNo">169</span>        public static Dataset min(final ILazyDataset data, int... axes) throws DatasetException {<a name="line.169"></a>
<span class="sourceLineNo">170</span>                if (data instanceof Dataset) {<a name="line.170"></a>
<span class="sourceLineNo">171</span>                        Dataset tmp = (Dataset) data;<a name="line.171"></a>
<span class="sourceLineNo">172</span>                        axes = requireSortedAxes(data, axes);<a name="line.172"></a>
<span class="sourceLineNo">173</span>                        for (int i = axes.length - 1; i &gt;= 0; i--) {<a name="line.173"></a>
<span class="sourceLineNo">174</span>                                tmp = tmp.min(axes[i]);<a name="line.174"></a>
<span class="sourceLineNo">175</span>                        }<a name="line.175"></a>
<span class="sourceLineNo">176</span>                        <a name="line.176"></a>
<span class="sourceLineNo">177</span>                        return tmp;<a name="line.177"></a>
<span class="sourceLineNo">178</span>                }<a name="line.178"></a>
<span class="sourceLineNo">179</span>                return maxmin(data, MathOperation.MIN, axes);<a name="line.179"></a>
<span class="sourceLineNo">180</span>        }<a name="line.180"></a>
<span class="sourceLineNo">181</span><a name="line.181"></a>
<span class="sourceLineNo">182</span>        /**<a name="line.182"></a>
<span class="sourceLineNo">183</span>         * @param data<a name="line.183"></a>
<span class="sourceLineNo">184</span>         * @param axis (can be negative)<a name="line.184"></a>
<span class="sourceLineNo">185</span>         * @return sum along axis in lazy dataset<a name="line.185"></a>
<span class="sourceLineNo">186</span>         * @throws DatasetException <a name="line.186"></a>
<span class="sourceLineNo">187</span>         */<a name="line.187"></a>
<span class="sourceLineNo">188</span>        public static Dataset sum(final ILazyDataset data, int axis) throws DatasetException {<a name="line.188"></a>
<span class="sourceLineNo">189</span>                if (data instanceof Dataset)<a name="line.189"></a>
<span class="sourceLineNo">190</span>                        return ((Dataset) data).sum(axis);<a name="line.190"></a>
<span class="sourceLineNo">191</span>                int[][] sliceInfo = new int[3][];<a name="line.191"></a>
<span class="sourceLineNo">192</span>                int[] shape = data.getShape();<a name="line.192"></a>
<span class="sourceLineNo">193</span>                final Dataset result = prepareDataset(axis, shape, sliceInfo);<a name="line.193"></a>
<span class="sourceLineNo">194</span><a name="line.194"></a>
<span class="sourceLineNo">195</span>                final int[] start = sliceInfo[0];<a name="line.195"></a>
<span class="sourceLineNo">196</span>                final int[] stop = sliceInfo[1];<a name="line.196"></a>
<span class="sourceLineNo">197</span>                final int[] step = sliceInfo[2];<a name="line.197"></a>
<span class="sourceLineNo">198</span>                final int length = shape[axis];<a name="line.198"></a>
<span class="sourceLineNo">199</span><a name="line.199"></a>
<span class="sourceLineNo">200</span>                for (int i = 0; i &lt; length; i++) {<a name="line.200"></a>
<span class="sourceLineNo">201</span>                        start[axis] = i;<a name="line.201"></a>
<span class="sourceLineNo">202</span>                        stop[axis] = i + 1;<a name="line.202"></a>
<span class="sourceLineNo">203</span>                        result.iadd(data.getSlice(start, stop, step));<a name="line.203"></a>
<span class="sourceLineNo">204</span>                }<a name="line.204"></a>
<span class="sourceLineNo">205</span><a name="line.205"></a>
<span class="sourceLineNo">206</span>                result.setShape(ShapeUtils.squeezeShape(shape, axis));<a name="line.206"></a>
<span class="sourceLineNo">207</span>                return result;<a name="line.207"></a>
<span class="sourceLineNo">208</span>        }<a name="line.208"></a>
<span class="sourceLineNo">209</span><a name="line.209"></a>
<span class="sourceLineNo">210</span>        /**<a name="line.210"></a>
<span class="sourceLineNo">211</span>         * @param data<a name="line.211"></a>
<span class="sourceLineNo">212</span>         * @param ignoreAxes axes to ignore<a name="line.212"></a>
<span class="sourceLineNo">213</span>         * @return sum when given axes are ignored in lazy dataset<a name="line.213"></a>
<span class="sourceLineNo">214</span>         * @throws DatasetException <a name="line.214"></a>
<span class="sourceLineNo">215</span>         * @since 2.0<a name="line.215"></a>
<span class="sourceLineNo">216</span>         */<a name="line.216"></a>
<span class="sourceLineNo">217</span>        public static Dataset sum(final ILazyDataset data, int... ignoreAxes) throws DatasetException {<a name="line.217"></a>
<span class="sourceLineNo">218</span>                return sum(data, true, ignoreAxes);<a name="line.218"></a>
<span class="sourceLineNo">219</span>        }<a name="line.219"></a>
<span class="sourceLineNo">220</span>        <a name="line.220"></a>
<span class="sourceLineNo">221</span>        /**<a name="line.221"></a>
<span class="sourceLineNo">222</span>         * @param data<a name="line.222"></a>
<span class="sourceLineNo">223</span>         * @param ignore if true, ignore the provided axes, otherwise use only the provided axes <a name="line.223"></a>
<span class="sourceLineNo">224</span>         * @param axes axes to ignore or accept, depending on the preceding flag<a name="line.224"></a>
<span class="sourceLineNo">225</span>         * @return sum<a name="line.225"></a>
<span class="sourceLineNo">226</span>         * @throws DatasetException <a name="line.226"></a>
<span class="sourceLineNo">227</span>         * @since 2.0<a name="line.227"></a>
<span class="sourceLineNo">228</span>         */<a name="line.228"></a>
<span class="sourceLineNo">229</span>        public static Dataset sum(final ILazyDataset data, boolean ignore, int... axes) throws DatasetException {<a name="line.229"></a>
<span class="sourceLineNo">230</span>                Arrays.sort(axes); // ensure they are properly sorted<a name="line.230"></a>
<span class="sourceLineNo">231</span>        <a name="line.231"></a>
<span class="sourceLineNo">232</span>                ILazyDataset rv = data;<a name="line.232"></a>
<span class="sourceLineNo">233</span>                <a name="line.233"></a>
<span class="sourceLineNo">234</span>                if (ignore) {<a name="line.234"></a>
<span class="sourceLineNo">235</span>                        List&lt;Integer&gt; goodAxes = new ArrayList&lt;&gt;();<a name="line.235"></a>
<span class="sourceLineNo">236</span>                        for (int i = 0 ; i &lt; data.getRank() ; i++) {<a name="line.236"></a>
<span class="sourceLineNo">237</span>                                boolean found = false;<a name="line.237"></a>
<span class="sourceLineNo">238</span>                                for (int j = 0 ; j &lt; axes.length ; j++) {<a name="line.238"></a>
<span class="sourceLineNo">239</span>                                        if (i == axes[j]) {<a name="line.239"></a>
<span class="sourceLineNo">240</span>                                                found = true;<a name="line.240"></a>
<span class="sourceLineNo">241</span>                                                break;<a name="line.241"></a>
<span class="sourceLineNo">242</span>                                        }<a name="line.242"></a>
<span class="sourceLineNo">243</span>                                }<a name="line.243"></a>
<span class="sourceLineNo">244</span>                                if (!found)             <a name="line.244"></a>
<span class="sourceLineNo">245</span>                                        goodAxes.add(i);<a name="line.245"></a>
<span class="sourceLineNo">246</span>                        }<a name="line.246"></a>
<span class="sourceLineNo">247</span><a name="line.247"></a>
<span class="sourceLineNo">248</span>                        for (int i = 0 ; i &lt; goodAxes.size() ; i++) {<a name="line.248"></a>
<span class="sourceLineNo">249</span>                                rv = sum(rv, goodAxes.get(i) - i);<a name="line.249"></a>
<span class="sourceLineNo">250</span>                        }<a name="line.250"></a>
<span class="sourceLineNo">251</span>                } else {<a name="line.251"></a>
<span class="sourceLineNo">252</span>                        for (int i = 0 ; i &lt; axes.length ; i++) {<a name="line.252"></a>
<span class="sourceLineNo">253</span>                                rv = sum(rv, axes[i] - i);<a name="line.253"></a>
<span class="sourceLineNo">254</span>                        }<a name="line.254"></a>
<span class="sourceLineNo">255</span>                }<a name="line.255"></a>
<span class="sourceLineNo">256</span>                return DatasetUtils.sliceAndConvertLazyDataset(rv);<a name="line.256"></a>
<span class="sourceLineNo">257</span>        }<a name="line.257"></a>
<span class="sourceLineNo">258</span>        <a name="line.258"></a>
<span class="sourceLineNo">259</span>        /**<a name="line.259"></a>
<span class="sourceLineNo">260</span>         * @param data<a name="line.260"></a>
<span class="sourceLineNo">261</span>         * @param axis (can be negative)<a name="line.261"></a>
<span class="sourceLineNo">262</span>         * @return product along axis in lazy dataset<a name="line.262"></a>
<span class="sourceLineNo">263</span>         * @throws DatasetException <a name="line.263"></a>
<span class="sourceLineNo">264</span>         */<a name="line.264"></a>
<span class="sourceLineNo">265</span>        public static Dataset product(final ILazyDataset data, int axis) throws DatasetException {<a name="line.265"></a>
<span class="sourceLineNo">266</span>                int[][] sliceInfo = new int[3][];<a name="line.266"></a>
<span class="sourceLineNo">267</span>                int[] shape = data.getShape();<a name="line.267"></a>
<span class="sourceLineNo">268</span>                final Dataset result = prepareDataset(axis, shape, sliceInfo);<a name="line.268"></a>
<span class="sourceLineNo">269</span>                result.fill(1);<a name="line.269"></a>
<span class="sourceLineNo">270</span><a name="line.270"></a>
<span class="sourceLineNo">271</span>                final int[] start = sliceInfo[0];<a name="line.271"></a>
<span class="sourceLineNo">272</span>                final int[] stop = sliceInfo[1];<a name="line.272"></a>
<span class="sourceLineNo">273</span>                final int[] step = sliceInfo[2];<a name="line.273"></a>
<span class="sourceLineNo">274</span>                final int length = shape[axis];<a name="line.274"></a>
<span class="sourceLineNo">275</span><a name="line.275"></a>
<span class="sourceLineNo">276</span>                for (int i = 0; i &lt; length; i++) {<a name="line.276"></a>
<span class="sourceLineNo">277</span>                        start[axis] = i;<a name="line.277"></a>
<span class="sourceLineNo">278</span>                        stop[axis] = i + 1;<a name="line.278"></a>
<span class="sourceLineNo">279</span>                        result.imultiply(data.getSlice(start, stop, step));<a name="line.279"></a>
<span class="sourceLineNo">280</span>                }<a name="line.280"></a>
<span class="sourceLineNo">281</span><a name="line.281"></a>
<span class="sourceLineNo">282</span>                result.setShape(ShapeUtils.squeezeShape(shape, axis));<a name="line.282"></a>
<span class="sourceLineNo">283</span>                return result;<a name="line.283"></a>
<span class="sourceLineNo">284</span>        }<a name="line.284"></a>
<span class="sourceLineNo">285</span><a name="line.285"></a>
<span class="sourceLineNo">286</span>        /**<a name="line.286"></a>
<span class="sourceLineNo">287</span>         * @param start<a name="line.287"></a>
<span class="sourceLineNo">288</span>         * @param stop inclusive<a name="line.288"></a>
<span class="sourceLineNo">289</span>         * @param data<a name="line.289"></a>
<span class="sourceLineNo">290</span>         * @param ignoreAxes<a name="line.290"></a>
<span class="sourceLineNo">291</span>         * @return mean when given axes are ignored in lazy dataset<a name="line.291"></a>
<span class="sourceLineNo">292</span>         * @throws DatasetException <a name="line.292"></a>
<span class="sourceLineNo">293</span>         */<a name="line.293"></a>
<span class="sourceLineNo">294</span>        public static Dataset mean(int start, int stop, ILazyDataset data, int... ignoreAxes) throws DatasetException {<a name="line.294"></a>
<span class="sourceLineNo">295</span>                int[] shape = data.getShape();<a name="line.295"></a>
<span class="sourceLineNo">296</span>                PositionIterator iter = new PositionIterator(shape, ignoreAxes);<a name="line.296"></a>
<span class="sourceLineNo">297</span>                int[] pos = iter.getPos();<a name="line.297"></a>
<span class="sourceLineNo">298</span>                boolean[] omit = iter.getOmit();<a name="line.298"></a>
<span class="sourceLineNo">299</span><a name="line.299"></a>
<span class="sourceLineNo">300</span>                int rank = shape.length;<a name="line.300"></a>
<span class="sourceLineNo">301</span>                int[] st = new int[rank];<a name="line.301"></a>
<span class="sourceLineNo">302</span>                Arrays.fill(st, 1);<a name="line.302"></a>
<span class="sourceLineNo">303</span>                int[] end = new int[rank];<a name="line.303"></a>
<span class="sourceLineNo">304</span><a name="line.304"></a>
<span class="sourceLineNo">305</span>                RunningAverage av = null;<a name="line.305"></a>
<span class="sourceLineNo">306</span>                int c = 0;<a name="line.306"></a>
<span class="sourceLineNo">307</span>                while (iter.hasNext() &amp;&amp; c &lt; stop) {<a name="line.307"></a>
<span class="sourceLineNo">308</span>                        if (c++ &lt; start) continue;<a name="line.308"></a>
<span class="sourceLineNo">309</span>                        for (int i = 0; i &lt; rank; i++) {<a name="line.309"></a>
<span class="sourceLineNo">310</span>                                end[i] = omit[i] ? shape[i] : pos[i] + 1;<a name="line.310"></a>
<span class="sourceLineNo">311</span>                        }<a name="line.311"></a>
<span class="sourceLineNo">312</span>                        IDataset ds = data.getSlice(pos, end, st);<a name="line.312"></a>
<span class="sourceLineNo">313</span>                        if (av == null) {<a name="line.313"></a>
<span class="sourceLineNo">314</span>                                av = new RunningAverage(ds);<a name="line.314"></a>
<span class="sourceLineNo">315</span>                        } else {<a name="line.315"></a>
<span class="sourceLineNo">316</span>                                av.update(ds);<a name="line.316"></a>
<span class="sourceLineNo">317</span>                        }<a name="line.317"></a>
<span class="sourceLineNo">318</span>                }<a name="line.318"></a>
<span class="sourceLineNo">319</span><a name="line.319"></a>
<span class="sourceLineNo">320</span>                return  av != null ? av.getCurrentAverage().squeeze() : null;<a name="line.320"></a>
<span class="sourceLineNo">321</span>        }<a name="line.321"></a>
<span class="sourceLineNo">322</span>        <a name="line.322"></a>
<span class="sourceLineNo">323</span>        public static Dataset mean(ILazyDataset data, int... ignoreAxes) throws DatasetException {<a name="line.323"></a>
<span class="sourceLineNo">324</span>                return mean(0, Integer.MAX_VALUE -1 , data, ignoreAxes);<a name="line.324"></a>
<span class="sourceLineNo">325</span>        }<a name="line.325"></a>
<span class="sourceLineNo">326</span><a name="line.326"></a>
<span class="sourceLineNo">327</span>        private static Dataset prepareDataset(int axis, int[] shape, int[][] sliceInfo) {<a name="line.327"></a>
<span class="sourceLineNo">328</span>                int rank = shape.length;<a name="line.328"></a>
<span class="sourceLineNo">329</span>                axis = ShapeUtils.checkAxis(rank, axis);<a name="line.329"></a>
<span class="sourceLineNo">330</span><a name="line.330"></a>
<span class="sourceLineNo">331</span>                sliceInfo[0] = new int[rank];<a name="line.331"></a>
<span class="sourceLineNo">332</span>                sliceInfo[1] = shape.clone();<a name="line.332"></a>
<span class="sourceLineNo">333</span>                sliceInfo[2] = new int[rank];<a name="line.333"></a>
<span class="sourceLineNo">334</span>                Arrays.fill(sliceInfo[2], 1);<a name="line.334"></a>
<span class="sourceLineNo">335</span><a name="line.335"></a>
<span class="sourceLineNo">336</span>                final int[] nshape = shape.clone();<a name="line.336"></a>
<span class="sourceLineNo">337</span>                nshape[axis] = 1;<a name="line.337"></a>
<span class="sourceLineNo">338</span><a name="line.338"></a>
<span class="sourceLineNo">339</span>                return DatasetFactory.zeros(nshape);<a name="line.339"></a>
<span class="sourceLineNo">340</span>        }<a name="line.340"></a>
<span class="sourceLineNo">341</span>}<a name="line.341"></a>




























































</pre>
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